论文阅读 - ExFuse: Enhancing Feature Fusion for Semantic Segmentation
论文阅读 - ExFuse: Enhancing Feature Fusion for Semantic Segmentation (ECCV 2018 Fudan University, Megvii Inc.) 这篇文章研究语义分割网络中高低层特征融合的效率问题。在很多工作中，融合不同尺度的特征是提高分割性能的一个重要手段。低层特征分辨率更高，包含更多位置、细节信息，但是由于经过的卷积更少
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相关文章
- 1. ExFuse- Enhancing Feature Fusion for Semantic Segmentation笔记
- 2. [深度学习论文笔记][arxiv 1804]ExFuse: Enhancing Feature Fusion for Semantic Segmentation
- 3. 【论文阅读】Structured Knowledge Distillation for Semantic Segmentation
- 4. 论文阅读：《Understanding Convolution for Semantic Segmentation》
- 5. Semantic Segmentation---DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation（论文解读十）
- 6. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation
- 7. Semantic Soft segmentation 论文阅读
- 8. 【论文阅读】Rich feature hierarchies for accurate object detection and semantic segmentation
- 9. [ICCV2019论文阅读]ACFNet: Attentional Class Feature Network for Semantic Segmentation
- 10. 【论文阅读笔记】Rich feature hierarchies for accurate object detection and semantic segmentation